| Upload Date | November 11 2025 09:20 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Nova WiFi |
| Motherboard | ASRock X870E Nova WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3957
735.9 IPS |
|
|
Image Classification (HP)
|
100% |
720
133.9 IPS |
|
|
Image Classification (Q)
|
99% |
10354
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14415
234.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12665
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9975
11.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
51715
60.6 IPS |
|
|
Object Detection (SP)
|
100% |
3986
316.2 IPS |
|
|
Object Detection (HP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (Q)
|
86% |
11888
955.4 IPS |
|
|
Face Detection (SP)
|
100% |
7728
91.8 IPS |
|
|
Face Detection (HP)
|
100% |
2006
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
12692
151.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12601
97.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3181
24.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
23236
185.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25344
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21720
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36311
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3115
115.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4481
165.9 IPS |
|
|
Text Classification (SP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
854
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1478
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2990
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3369
67.7 IPS |